| 5810 |
Centers for Disease Control and Prevention |
Html |
en |
Piperazine dihydrochloride - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 5824 |
Centers for Disease Control and Prevention |
Html |
en |
Antimony - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 6878 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Confirms Two Human Infections with Novel Influenza Viruses |
CDC Confirms Two Human Infections with Novel Influenza Viruses. |
| human influenza | 0.515624 |
| novel viruses | 0.34617 |
| CDC | 0.364046 |
| H3N2 virus | 0.297044 |
| United States | 0.462312 |
| novel influenza | 0.904592 |
| Swine Influenza Infections | 0.493122 |
| human influenza viruses | 0.513395 |
| seasonal influenza surveillance | 0.408846 |
| different novel influenza | 0.463527 |
| immune protection | 0.297401 |
| H1N1 influenza viruses | 0.474017 |
| swine exposure | 0.316947 |
| infected swine | 0.307307 |
| seasonal flu activity | 0.289637 |
| seasonal influenza viruses | 0.467503 |
| H1N1 virus | 0.313619 |
| West Virginia | 0.357174 |
| vaccine virus | 0.308538 |
| influenza website | 0.371408 |
| novel influenza viruses | 0.508581 |
| indirect contact | 0.299373 |
| A/New Caledonia/20/99 virus | 0.337465 |
|
| close swine contact | 0.373982 |
| A/Brisbane/59/2007-like influenza viruses | 0.472404 |
| prior human infections | 0.403233 |
| influenza A virus | 0.466877 |
| virus infections | 0.314558 |
| limited human-to-human transmission | 0.582765 |
| human influenza a/brisbane/59/2007 | 0.459838 |
| novel influenza virus | 0.56576 |
| U.S. swine | 0.330421 |
| influenza surveillance program | 0.40257 |
| seasonal flu vaccine | 0.341526 |
| flu viruses | 0.31132 |
| swine origins | 0.30825 |
| influenza virus specimens | 0.460849 |
| virus infection | 0.308267 |
| swine | 0.49936 |
| human infections | 0.465717 |
| different influenza virus | 0.477686 |
| influenza viruses | 0.610697 |
| H1N2 virus | 0.29923 |
| novel influenza infections | 0.429888 |
| A/New Caledonia/20/99-like viruses | 0.357614 |
| ongoing community transmission | 0.289777 |
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| 7593 |
Centers for Disease Control and Prevention |
Html |
en |
Basic TB Facts - What to Do If You Have Been Exposed To TB |
Centers for Disease Control and Prevention, Division of Tuberculosis Elimination |
| sings | 0.217252 |
| reason | 0.213644 |
| TB skin test | 0.529006 |
| active bacteria | 0.3095 |
| coworkers | 0.216572 |
| TB disease | 0.935064 |
| air | 0.215376 |
| body | 0.213127 |
| point | 0.213129 |
| local health department | 0.326075 |
| nurse | 0.214112 |
| lungs | 0.218568 |
| active TB disease | 0.728065 |
|
| TB bacteria | 0.856554 |
| TB infection | 0.452138 |
| family members | 0.263029 |
| TB Prevention | 0.456998 |
| people | 0.273743 |
| sneezes | 0.215292 |
| TB | 0.965007 |
| doctor | 0.229572 |
| persons | 0.213544 |
| person | 0.254784 |
| speaks | 0.216061 |
| time | 0.247228 |
| special TB blood | 0.532465 |
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| 8097 |
Centers for Disease Control and Prevention |
Html |
en |
Announcement: Introduction to Public Health SurveillanceCourse |
Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. |
| mmwrq@cdc.gov. | 0.683398 |
| planning considerations | 0.675728 |
| practical knowledge | 0.668396 |
| endorsement | 0.574259 |
| data | 0.546536 |
| Emory University | 0.971381 |
| Human Services | 0.773114 |
| assistive technology | 0.688752 |
| MMWR HTML versions | 0.784334 |
| U.S. Department | 0.763713 |
| surveillance systems technology | 0.833536 |
| electronic PDF version | 0.771484 |
| e-mail | 0.585208 |
| surveillance programs | 0.698003 |
| state | 0.553581 |
| Global Health | 0.684987 |
| Additional information | 0.662373 |
| Contact GPO | 0.686185 |
| legalities | 0.540793 |
| commercial sources | 0.657833 |
| telephone | 0.548779 |
| current prices | 0.651012 |
| original paper copy | 0.766093 |
| original MMWR paper | 0.778152 |
|
| U.S. Government Printing | 0.770628 |
| Clifton Rd | 0.66393 |
| assistance | 0.529765 |
| MMWR readers | 0.66357 |
| character translation | 0.649532 |
| file | 0.529939 |
| Public Health Surveillance | 0.88024 |
| Atlanta | 0.552995 |
| Persons | 0.530048 |
| course | 0.575986 |
| public health professionals | 0.844842 |
| public health | 0.922179 |
| Hubert Department | 0.66829 |
| format errors | 0.652068 |
| Rollins School | 0.677307 |
| subject line | 0.673643 |
| typeset documents | 0.658866 |
| trade names | 0.658408 |
| official text | 0.647447 |
| local concerns | 0.65883 |
| non-CDC sites | 0.655999 |
| future considerations | 0.67421 |
| CNR Bldg. | 0.671459 |
| electronic conversions | 0.647348 |
|
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| 8594 |
Centers for Disease Control and Prevention |
Html |
en |
PanFlu Storybook - In Memorial, Arthur and Julienne Scoltic Valley and Loretta Carmel Crowley |
In Memorial, To date, October 1918 remains the deadliest month in U.S. history when approximately 200,000 Americans died of the flu. Healthy, young adults (average age 35 years) began coughing in the morning and were dead by the evening. The family stories described in this section define true courage amid unbearable loss. |
| City Hospital | 0.538879 |
| Julienne′s aunt | 0.542639 |
| Arthur | 0.970688 |
| hospital administrator | 0.536596 |
| large numbers | 0.538149 |
| brief illness | 0.636514 |
| original letters | 0.536244 |
| dear Jewel | 0.537442 |
| Ogdensburg newspaper | 0.755609 |
| Charles Parker | 0.546253 |
| Grey Nuns | 0.535224 |
| mother′s family | 0.532324 |
| dear little Kathleen | 0.66511 |
| Buffalo | 0.706387 |
| deep regret | 0.529737 |
| father′s older sister | 0.640321 |
| Kathy Parker | 0.549651 |
| congenital heart defect | 0.647356 |
| mother′s sister | 0.532948 |
| dry goods merchant | 0.647082 |
| family photographs | 0.53126 |
| Kathleen Valley–Parker | 0.572188 |
| Julia Nisell Scoltic | 0.634682 |
| following headline | 0.530018 |
|
| religious order | 0.542556 |
| Sister St. Stephen | 0.669203 |
| Thousand Islands | 0.549367 |
| small town | 0.554038 |
| St. Lawrence River | 0.67247 |
| typhoid pneumonia | 0.560495 |
| Julienne | 0.97818 |
| Julienne′s sister | 0.53495 |
| father′s brother Edmund | 0.625062 |
| paternal grandmother | 0.698165 |
| Loretta Carmel Crowley | 0.696733 |
| New York | 0.820964 |
| father′s mother | 0.692264 |
| Art Tyo | 0.535247 |
| maternal grandparents | 0.562006 |
| Sacred Heart | 0.540669 |
| Julienne Scoltic–Valley | 0.783879 |
| father′s time | 0.537805 |
| Ogdensburg | 0.78158 |
| nursing school | 0.542864 |
| well–known family | 0.547654 |
| young daughter | 0.53622 |
| time Arthur | 0.656055 |
| Mrs. Arthur G. | 0.752663 |
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| 10044 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | The Program Sustainability Assessment Tool: A New Instrument for Public Health Programs - CDC |
Public health programs can deliver benefits only if they are able to sustain programs, policies, and activities over time. Although numerous sustainability frameworks and models have been developed, there are almost no assessment tools that have demonstrated reliability or validity or have been widely disseminated. We present the Program Sustainability Assessment Tool (PSAT), a new and reliable instrument for assessing the capacity for program sustainability of various public health and other programs. |
| Public Health Impacts | 0.49415 |
| sustainability document | 0.428353 |
| PSAT pilot development | 0.4498 |
| sustainability outcome | 0.416428 |
| lower sustainability scores | 0.439034 |
| sustainability determinants | 0.427827 |
| numerous sustainability frameworks | 0.460151 |
| low sustainability scores | 0.440489 |
| PSAT sustainability scores | 0.552615 |
| final PSAT scale | 0.444843 |
| PSAT instrument | 0.427285 |
| long-term sustainability | 0.410938 |
| total sustainability score | 0.431028 |
| sustainability question | 0.417607 |
| formal PSAT sustainability | 0.527916 |
| PSAT overall sustainability | 0.528106 |
| sustainability scores | 0.586107 |
| sustainability | 0.793311 |
| sustainability domain subscales | 0.450132 |
| program type | 0.420054 |
| PSAT scores | 0.471203 |
| items | 0.419281 |
| pilot PSAT | 0.441848 |
| important sustainability domains | 0.436306 |
|
| program sustainability capacity | 0.523021 |
| overall sustainability scores | 0.45609 |
| long-term program sustainability | 0.487064 |
| sustainability conceptual framework | 0.44537 |
| PSAT | 0.653951 |
| Program Sustainability Assessment | 0.539441 |
| program managers | 0.430116 |
| program level | 0.429283 |
| initial PSAT | 0.431335 |
| public health | 0.946913 |
| public health program | 0.524768 |
| general sustainability | 0.411778 |
| Sustainability Assessment Tool | 0.506279 |
| sustainability domains | 0.495397 |
| final PSAT | 0.452355 |
| public health programs | 0.719127 |
| 40-item PSAT | 0.426927 |
| integrated sustainability frameworks | 0.447566 |
| PSAT structure | 0.431741 |
| confirmatory factor analysis | 0.672155 |
| sustainability domain structure | 0.446405 |
| program sustainability | 0.689578 |
| program sustainability framework | 0.487864 |
| sustainability project | 0.422959 |
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| 10125 |
Centers for Disease Control and Prevention |
Html |
en |
CDC - 2-BUTOXYETHANOL |
null |
| essential health | 0.561644 |
| physical properties | 0.557084 |
| Air Toxics | 0.54632 |
| Occupational Exposure | 0.592658 |
| UNEP Chemical | 0.566519 |
| Fact Sheets | 0.538049 |
| Recommended Standard | 0.547558 |
| Data Bank | 0.53609 |
| work environment | 0.569651 |
| measurement methods | 0.56368 |
| personal protection | 0.556764 |
| health concentrations | 0.679912 |
| Occupational Safety | 0.549787 |
| Key data | 0.560406 |
| safety information | 0.585899 |
| synonyms/trade names | 0.558255 |
| KB | 0.558929 |
| Hazardous Substance Data | 0.675576 |
| exposure limits | 0.76529 |
| Health Guideline | 0.560598 |
| Toxicological Profile | 0.547446 |
| Ethylene Glycol Monobutyl | 0.91884 |
| conversion factors | 0.550505 |
| Chemical Substance Information | 0.70671 |
|
| Jersey Hazardous Substance | 0.68098 |
| NIOSH Manual | 0.646367 |
| Integrated Risk Information | 0.672582 |
| IDLH documents | 0.557562 |
| industrial hygiene information | 0.732901 |
| CAS/RTECS Numbers | 0.557936 |
| OECD SIDS | 0.546958 |
| Chemical Sampling Information | 0.707335 |
| Analytical Methods | 0.555546 |
| shop floor | 0.553899 |
| Publication No. | 0.544474 |
| information sources | 0.575036 |
| Glycol Monobutyl Ether | 0.913035 |
| workplace air | 0.543637 |
| NIOSH Pocket Guide | 0.83241 |
| International Chemical Safety | 0.718197 |
| ATSDR | 0.476165 |
| adverse effects | 0.545605 |
| Monobutyl Ether Acetate | 0.698259 |
| respirator recommendations | 0.766922 |
| DOT ID | 0.54803 |
| Hazardous Substance | 0.681714 |
| Chemical Hazards | 0.597045 |
|
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| 15491 |
Centers for Disease Control and Prevention |
Html |
en |
Symptoms |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| area | 0.317082 |
| reason | 0.266866 |
| future infections | 0.446666 |
| mosquito bites | 0.467792 |
| blood tests | 0.421884 |
| Zika virus | 0.630921 |
| mild symptoms | 0.447674 |
| people | 0.413846 |
| dengue | 0.362064 |
|
| common symptoms | 0.444425 |
| chikungunya | 0.381853 |
| Zika | 0.97348 |
| infected person | 0.477734 |
| symptoms | 0.783546 |
| doctor | 0.446008 |
| similar viruses | 0.421921 |
| healthcare provider | 0.974546 |
|
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| 15693 |
Centers for Disease Control and Prevention |
Html |
en |
Incidence of Neonatal Abstinence Syndrome - 28 States,1999-2013 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| overall incidence | 0.430912 |
| state Medicaid programs | 0.383245 |
| NAS surveillance | 0.431013 |
| linear trends | 0.40388 |
| state-specific NAS incidence | 0.639761 |
| logistic regression | 0.3796 |
| drug withdrawal syndrome | 0.483839 |
| state in-hospital births | 0.425803 |
| NAS incidence | 0.903461 |
| opioid use disorder | 0.421771 |
| prescription drug monitoring | 0.411229 |
| acute care hospital | 0.417033 |
| public health practice | 0.378825 |
| Incidence rate numerator | 0.421587 |
| Medicaid programs | 0.385496 |
| hospital inpatient delivery | 0.384944 |
| opioid prescribing rates | 0.414201 |
| overall incidence rate | 0.429825 |
| euphoric opioid | 0.385798 |
| NAS cases | 0.57165 |
| United States | 0.408509 |
| in-hospital births | 0.425975 |
| overall NAS incidence | 0.558725 |
| states | 0.486292 |
| NAS incidence rates | 0.712832 |
|
| West Virginia | 0.465116 |
| hospital inpatient discharges | 0.38276 |
| hospital births | 0.786745 |
| annual incidence rate | 0.542352 |
| State Inpatient Databases | 0.64995 |
| public health | 0.466087 |
| postnatal drug withdrawal | 0.424597 |
| Utilization Project | 0.390226 |
| incidence rate change | 0.430526 |
| incidence rate denominator | 0.420307 |
| hospital administrative data | 0.38103 |
| public health programs | 0.378018 |
| opioid use disorders | 0.376798 |
| incidence rate changes | 0.488025 |
| de-identified administrative data | 0.418027 |
| opioid epidemic | 0.376024 |
| state-specific NAS estimates | 0.466543 |
| Chronic Disease Prevention | 0.387895 |
| opioid medications | 0.391776 |
| drug monitoring programs | 0.414485 |
| utero opioid exposure | 0.412773 |
| Neonatal abstinence syndrome | 0.421887 |
| opioid therapy | 0.376799 |
| NAS-related annual hospital | 0.375287 |
|
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